Results 111 to 120 of about 8,582 (299)
IEEE AccessIn practical application scenarios, the phenomena of nonlinearity and missing data are commonly present in networked multi-sensor systems. Therefore, this paper investigates distributed filtering problems for networked stochastic nonlinear systems with ...
Hao Jin, Zuoqiang Du, Jing Ma
doaj +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang +4 more
wiley +1 more source
On an application of extended kalman filtering to activated sludge processes: a benchmark study
, 2005 The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and
Katebi, R +5 more
core
Information form distributed Kalman filtering (IDKF) with explicit inputs
, 2022 S.743-750With the ubiquity of information distributed in networks, performing recursive Bayesian estimation using distributed calculations is becoming more and more important.
Pfaff, F. +4 more
core +1 more source
How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?
Quarterly Journal of the Royal Meteorological Society, EarlyView.Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood +3 more
wiley +1 more source
Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter [PDF]
, 2013 Using wireless sensor networks to track the position of a moving object in a 3-D spatial model requires precise information of location and speed of the object, which in turn demands for accuracy in state estimation of distributed Kalman filter.
Razm, S. K. +7 more
core +1 more source
A structurally localized ensemble Kalman filtering approach
Quarterly Journal of the Royal Meteorological Society, EarlyView.We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Distributed Kalman Filter with minimum-time covariance computation
, 2013 This paper considerably improves the well-known Distributed Kalman Filter (DKF) algorithm by Olfati-Saber (2007) by introducing a novel decentralised consensus value computation scheme, using only local observations of sensors. It has been shown that the
Yuan, Y +4 more
core +2 more sources
ActuatorsIn this paper, a state estimation method of distributed electric drive articulated vehicle dynamics parameters based on the forgetting factor unscented Kalman filter with singular value decomposition (SVD-UKF) is proposed.
Tianlong Lei +3 more
doaj +1 more source
Steady State Distributed Kalman Filter
CoRRThis paper addresses the synthesis of an optimal fixed-gain distributed observer for discrete-time linear systems over wireless sensor networks. The proposed approach targets the steady-state estimation regime and computes fixed observer gains offline from the asymptotic error covariance of the global distributed BLUE estimator.
openaire +2 more sources